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// the Apache License, Version 2.0 (the "License"); you may
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//
//    http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
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// KIND, either express or implied.  See the License for the
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// under the License.

// Code generated from the elasticsearch-specification DO NOT EDIT.
// https://github.com/elastic/elasticsearch-specification/tree/e279583a47508af40eb07b84694c5aae7885aa09

package types

// DataframeRegressionSummary type.
//
// https://github.com/elastic/elasticsearch-specification/blob/e279583a47508af40eb07b84694c5aae7885aa09/specification/ml/evaluate_data_frame/types.ts#L68-L85
type DataframeRegressionSummary struct {
	// Huber Pseudo Huber loss function.
	Huber *DataframeEvaluationValue `json:"huber,omitempty"`
	// Mse Average squared difference between the predicted values and the actual
	// (`ground truth`) value.
	Mse *DataframeEvaluationValue `json:"mse,omitempty"`
	// Msle Average squared difference between the logarithm of the predicted values and
	// the logarithm of the actual (`ground truth`) value.
	Msle *DataframeEvaluationValue `json:"msle,omitempty"`
	// RSquared Proportion of the variance in the dependent variable that is predictable from
	// the independent variables.
	RSquared *DataframeEvaluationValue `json:"r_squared,omitempty"`
}

// NewDataframeRegressionSummary returns a DataframeRegressionSummary.
func NewDataframeRegressionSummary() *DataframeRegressionSummary {
	r := &DataframeRegressionSummary{}

	return r
}
